Custom software

Enterprise Systems Engineering

We build custom systems when an off-the-shelf product doesn’t fit. A project might be an internal application, an AI integration, or a set of services that need to exchange data reliably.

Engineering scope

Operational platforms

Internal applications that follow your operating model and work with the data you already have.

AI-integrated applications

Add model inference and agent orchestration to an application, with explicit tool permissions and points for human review.

APIs & distributed services

Connect services through documented APIs. Handle background jobs and retries where work cannot finish in a single request.

Data infrastructure

Build ingestion and reporting pipelines over relational storage. Keep analysis traceable to its source data.

Security & access

Define who can access each system and what they can do. Record actions in audit logs.

Deployment & operations

Deploy on-prem or in the cloud according to your constraints. Plan for monitoring, backups, and the people who will maintain the system.

Example architecture

This shows how an application connects to its services and data. The boundaries depend on the deployment.

  1. 01

    People & applications

  2. 02

    APIs & permissions

  3. 03

    Workflows & agents

  4. 04

    Data & infrastructure

Access controls and logs belong at each boundary. Tests should cover how those boundaries behave when a dependency fails.

Discuss a project

Tell us what needs to happen and what gets in the way today. Existing systems, data restrictions, and deployment requirements help us work out the scope and agree on acceptance criteria.

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